Workflow n8n
Automatisation n8n : extraction d'actualités hebdomadaires
- Ce workflow n8n est conçu pour automatiser l'extraction d'actualités à partir de pages web, facilitant ainsi la collecte d'informations pertinentes pour les entreprises et les équipes de communication. Grâce à cette automatisation, les utilisateurs peuvent récupérer des articles récents, les résumer et extraire des mots-clés, le tout de manière fluide et efficace. L'objectif est de réduire le temps passé à chercher des informations et d'optimiser le partage de contenu au sein des équipes.
- Le processus débute avec un déclencheur programmé qui active le workflow chaque semaine. Ensuite, le workflow utilise des nœuds pour extraire le HTML des pages web, en ciblant des classes CSS spécifiques pour obtenir les informations désirées. Les données extraites sont ensuite traitées par des nœuds OpenAI pour générer des résumés et des mots-clés pertinents. Ces informations sont ensuite fusionnées avec les dates et les liens des articles pour créer un contenu structuré. En parallèle, des nœuds de type 'Sticky Note' sont utilisés pour visualiser et organiser les informations extraites.
- Les bénéfices de ce workflow sont multiples : il permet non seulement de gagner du temps en automatisant la collecte d'informations, mais aussi d'améliorer la qualité des contenus partagés au sein des équipes. En intégrant des outils d'intelligence artificielle, ce workflow n8n offre une valeur ajoutée significative, rendant le processus d'extraction d'actualités à la fois rapide et efficace.
Tags clés :automatisationn8nextraction de donnéesactualitésOpenAI
Catégorie: Scheduled · Tags: automatisation, n8n, extraction de données, actualités, OpenAI❤ 0
Workflow n8n extraction de données, actualités, OpenAI : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n extraction de données, actualités, OpenAI : détail des nœuds
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"id": "xM8Z5vZVNTNjCySL",
"meta": {
"instanceId": "b8ef33547995f2a520f12118ac1f7819ea58faa7a1096148cac519fa08be8e99"
},
"name": "News Extraction",
"tags": [],
"nodes": [
{
"id": "97711d12-20de-40aa-b994-d2b10f20a5e5",
"name": "Extract the HTML with the right css class",
"type": "n8n-nodes-base.html",
"position": [
-500,
0
],
"parameters": {
"options": {
"trimValues": true
},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "data",
"attribute": "href",
"cssSelector": "=div:nth-child(9) > div:nth-child(3) > a:nth-child(2)",
"returnArray": true,
"returnValue": "attribute"
}
]
}
},
"typeVersion": 1
},
{
"id": "b874b570-daae-4878-b525-07ac30756eb1",
"name": "Summary",
"type": "n8n-nodes-base.openAi",
"position": [
-880,
440
],
"parameters": {
"model": "gpt-4-1106-preview",
"prompt": {
"messages": [
{
"content": "=Create a summary in less than 70 words {{ $json[\"content\"] }}"
}
]
},
"options": {},
"resource": "chat"
},
"credentials": {
"openAiApi": {
"id": "0Vdk5RlVe7AoUdAM",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "72696278-2d44-4073-936a-6fe9df1bc7d8",
"name": "Keywords",
"type": "n8n-nodes-base.openAi",
"position": [
-880,
620
],
"parameters": {
"model": "gpt-4-1106-preview",
"prompt": {
"messages": [
{
"content": "=name the 3 most important technical keywords in {{ $json[\"content\"] }} ? just name them without any explanations or other sentences"
}
]
},
"options": {},
"resource": "chat"
},
"credentials": {
"openAiApi": {
"id": "0Vdk5RlVe7AoUdAM",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "0bfdb3be-76ef-4bb3-902f-f0869342b83c",
"name": "Rename keywords",
"type": "n8n-nodes-base.set",
"position": [
-700,
620
],
"parameters": {
"fields": {
"values": [
{
"name": "keywords",
"stringValue": "={{ $json[\"message\"][\"content\"] }}"
}
]
},
"include": "none",
"options": {}
},
"typeVersion": 3.1
},
{
"id": "0387cf34-41c9-4729-8570-1db7b17c42f4",
"name": "Rename Summary",
"type": "n8n-nodes-base.set",
"position": [
-700,
440
],
"parameters": {
"fields": {
"values": [
{
"name": "=summary",
"stringValue": "={{ $json[\"message\"][\"content\"] }}"
}
]
},
"include": "none",
"options": {}
},
"typeVersion": 3.1
},
{
"id": "5fa1702c-f0bf-4524-bc8f-6f550dd83f1e",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
-480,
560
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "mergeByPosition"
},
"typeVersion": 2.1
},
{
"id": "25128a71-b0d5-49a4-adb8-c3fbe03c0a85",
"name": "Extract date",
"type": "n8n-nodes-base.html",
"position": [
-500,
-160
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "data",
"cssSelector": "div:nth-child(9) > div:nth-child(2) > span:nth-child(1)",
"returnArray": true
}
]
}
},
"typeVersion": 1
},
{
"id": "138b3bd6-494a-49b9-b5b8-c9febcfef9fb",
"name": "Select posts of last 7 days",
"type": "n8n-nodes-base.code",
"position": [
120,
0
],
"parameters": {
"jsCode": "const currentDate = new Date();\nconst sevenDaysAgo = new Date(currentDate.setDate(currentDate.getDate() - 70)); // Change the number of days going back to your liking (e.g. from -7 to -1) -> BUT sync with the cron job (first node)\n\nconst filteredItems = items.filter(item => {\n const postDate = new Date(item.json[\"Date\"]); // Assuming \"Date\" is the field name in the extracted html\n return postDate >= sevenDaysAgo;\n});\n\nreturn filteredItems;\n"
},
"typeVersion": 2
},
{
"id": "1ace953b-e298-4fc2-8970-327f736889ec",
"name": "Merge date & links",
"type": "n8n-nodes-base.merge",
"position": [
-100,
0
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "mergeByPosition"
},
"typeVersion": 2.1
},
{
"id": "bba692fc-c225-41be-a969-179d8b99c071",
"name": "HTTP Request1",
"type": "n8n-nodes-base.httpRequest",
"position": [
320,
0
],
"parameters": {
"url": "={{ $json[\"Link\"] }}",
"options": {}
},
"typeVersion": 4.1
},
{
"id": "26671065-631f-4684-9ee1-15f26b4cf1e4",
"name": "Merge Content with Date & Link",
"type": "n8n-nodes-base.merge",
"position": [
500,
260
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "mergeByPosition"
},
"typeVersion": 2.1
},
{
"id": "79beb744-97b8-4072-824a-6736b0a080ef",
"name": "Extract individual posts",
"type": "n8n-nodes-base.html",
"position": [
500,
0
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "title",
"cssSelector": "h1.fl-heading > span:nth-child(1)"
},
{
"key": "content",
"cssSelector": ".fl-node-5c7574ae7d5c6 > div:nth-child(1)"
}
]
}
},
"typeVersion": 1
},
{
"id": "e89d9de5-875b-453e-825a-26f2bebcc8df",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
-107
],
"parameters": {
"width": 180.9747474601832,
"height": 276.31054308676767,
"content": "Select only the newest news: todays date going back xy days"
},
"typeVersion": 1
},
{
"id": "8a603f2f-4208-48c7-b169-e5613f13fa7d",
"name": "Merge ChatGPT output with Date & Link",
"type": "n8n-nodes-base.merge",
"position": [
-180,
560
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "mergeByPosition"
},
"typeVersion": 2.1
},
{
"id": "e1036421-9ce1-4121-a692-602410ec7c95",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"disabled": true,
"position": [
-539.7802584556148,
-4.722020203185366
],
"parameters": {
"width": 182.2748213508401,
"height": 304.2550759710132,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nExtracting the individual links of the press release page in order to retrieve the individual posts on their respective **url**"
},
"typeVersion": 1
},
{
"id": "3655ab22-6a17-429a-9d9b-d96bbcc78fee",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-538.404803912782,
-304
],
"parameters": {
"width": 178.75185894039254,
"height": 289.463147786618,
"content": "Extracting the dates of the posts of the press release page.\nThe right CSS selector has to be chosen.\n[More info on datagrab.io](https://datagrab.io/blog/guide-to-css-selectors-for-web-scraping/)"
},
"typeVersion": 1
},
{
"id": "2e27fb4c-426a-41e1-b5fb-9b2d78acd2a7",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1300,
-299.82161760751774
],
"parameters": {
"width": 334.4404040637068,
"height": 1127.2017245821128,
"content": "# Scraping posts of a news site without RSS feed\n\n\nThe [News Site](https://www.colt.net/resources/type/news/) from Colt, a telecom company, does not offer an RSS feed, therefore web scraping is the \nchoice to extract and process the news.\n\nThe goal is to get only the newest posts, a summary of each post and their respective (technical) keywords.\n\nNote that the news site offers the links to each news post, but not the individual news. We collect first the links and dates of each post before extracting the newest ones.\n\nThe result is sent to a SQL database, in this case a NocoDB database.\n\nThis process happens each week thru a cron job.\n\n**Requirements**:\n- Basic understanding of CSS selectors and how to get them via browser (usually: right click → inspect)\n- ChatGPT API account - normal account is not sufficient\n- A NocoDB database - of course you may choose any type of output target\n\n**Assumptions**:\n- CSS selectors work on the news site\n- The post has a date with own CSS selector - meaning date is not part of the news content\n\n**\"Warnings\"**\n- Not every site likes to be scraped, especially not in high frequency\n- Each website is structured in different ways, the workflow may then need several adaptations.\n\n\nHappy about any suggestion to improve. You may contact me on **Mastodon**: https://bonn.social/@askans"
},
"typeVersion": 1
},
{
"id": "d43bd5b7-2aff-4a07-8aca-ca4747ec6c4d",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-927.8447474890202,
-80
],
"parameters": {
"width": 153.90180146729315,
"height": 237.91333335255808,
"content": "Weekly cron job"
},
"typeVersion": 1
},
{
"id": "e732d136-fcf1-4fc3-8bb6-bdcea3c78d9e",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-760,
-80
],
"parameters": {
"width": 185.41515152389002,
"height": 241.454848504947,
"content": "The html of the news site is being retrieved: https://www.colt.net/resources/type/news/"
},
"typeVersion": 1
},
{
"id": "d5e29ec3-5ef2-42f3-b316-9350644dbba4",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-340,
-306
],
"parameters": {
"width": 187.3613302133812,
"height": 469.2923233086395,
"content": "As the extraction are returned as arrays, they transformed into individual JSON items to enable looping with other nodes"
},
"typeVersion": 1
},
{
"id": "1af15c45-32c0-4abf-a35d-be7206823569",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-120,
-103.54151515238902
],
"parameters": {
"width": 150,
"height": 274.50898992724416,
"content": "The links of the individual posts and the dates of the posts "
},
"typeVersion": 1
},
{
"id": "f7c42748-f227-42d0-a9e2-fcb16dbd0f75",
"name": "Retrieve the web page for further processsing",
"type": "n8n-nodes-base.httpRequest",
"position": [
-720,
0
],
"parameters": {
"url": "https://www.colt.net/resources/type/news/",
"options": {
"response": {
"response": {
"responseFormat": "text"
}
}
}
},
"typeVersion": 4.1
},
{
"id": "b2c36f26-8221-478f-a4b0-22758b1e5e58",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
292,
-100
],
"parameters": {
"width": 155.0036363426638,
"height": 272.1479798256519,
"content": "Get the html of each individual **newest** post"
},
"typeVersion": 1
},
{
"id": "6ae05c31-c09a-4b4e-a013-41571937bc39",
"name": "Sticky Note10",
"type": "n8n-nodes-base.stickyNote",
"position": [
460,
-100
],
"parameters": {
"width": 184.07417896879767,
"height": 269.2504410842093,
"content": "Extracting the title & content (text) of each individual news post with the right CSS selector"
},
"typeVersion": 1
},
{
"id": "e2da76d4-0c8c-4c61-924f-50aa9387e9ab",
"name": "Sticky Note11",
"type": "n8n-nodes-base.stickyNote",
"position": [
460,
180
],
"parameters": {
"width": 191.87778190338406,
"height": 234.13422787857044,
"content": "Merge link to url, date with content (text) and title of each news psot"
},
"typeVersion": 1
},
{
"id": "c124aaac-dce6-4658-9027-bdfe5c0c81e6",
"name": "Sticky Note12",
"type": "n8n-nodes-base.stickyNote",
"position": [
-907.2264215202996,
331.0681740778203
],
"parameters": {
"width": 150,
"height": 256.2444361932317,
"content": "Create a summary of each news post with ChatGPT. You need a ChatGPT API account for this"
},
"typeVersion": 1
},
{
"id": "c9037e74-007b-4e44-b7f9-90e78b853eb5",
"name": "Sticky Note13",
"type": "n8n-nodes-base.stickyNote",
"position": [
-909.595196087218,
610.7495589157902
],
"parameters": {
"width": 152.85976723045226,
"height": 218.52702200939785,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\nGet the 3 keywords of each news post"
},
"typeVersion": 1
},
{
"id": "756397d9-de80-4114-9dee-b4f4b9593333",
"name": "Sticky Note14",
"type": "n8n-nodes-base.stickyNote",
"position": [
-740,
340
],
"parameters": {
"width": 182.7735784797001,
"height": 489.05192374172555,
"content": "Just a renaming of data fields and eliminating unnecessary ones"
},
"typeVersion": 1
},
{
"id": "a0dcb254-f064-45ed-8e22-30a6d079085b",
"name": "Sticky Note15",
"type": "n8n-nodes-base.stickyNote",
"position": [
-520,
480
],
"parameters": {
"width": 169.7675735887227,
"height": 254.94383570413422,
"content": "Merge summary and keywords of each news post"
},
"typeVersion": 1
},
{
"id": "82993166-b273-4b82-a954-554c6892f825",
"name": "Schedule Trigger each week",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-900,
0
],
"parameters": {
"rule": {
"interval": [
{
"field": "weeks",
"triggerAtDay": [
3
],
"triggerAtHour": 4,
"triggerAtMinute": 32
}
]
}
},
"typeVersion": 1.1
},
{
"id": "3d670eb9-5a36-4cd9-8d2c-40adf848485e",
"name": "Sticky Note16",
"type": "n8n-nodes-base.stickyNote",
"position": [
-220,
477.5081090810816
],
"parameters": {
"width": 180.1723775015045,
"height": 260.5279202647822,
"content": "Add title, link and date to summary and keywords of each news post"
},
"typeVersion": 1
},
{
"id": "62021393-e988-4834-9fa2-75a957b42890",
"name": "NocoDB news database",
"type": "n8n-nodes-base.nocoDb",
"position": [
60,
560
],
"parameters": {
"table": "mhbalmu9aaqcun6",
"fieldsUi": {
"fieldValues": [
{
"fieldName": "=News_Source",
"fieldValue": "=Colt"
},
{
"fieldName": "Title",
"fieldValue": "={{ $json[\"title\"] }}"
},
{
"fieldName": "Date",
"fieldValue": "={{ $json[\"Date\"] }}"
},
{
"fieldName": "Link",
"fieldValue": "={{ $json[\"Link\"] }}"
},
{
"fieldName": "Summary",
"fieldValue": "={{ $json[\"summary\"] }}"
},
{
"fieldName": "Keywords",
"fieldValue": "={{ $json[\"keywords\"] }}"
}
]
},
"operation": "create",
"projectId": "prqu4e8bjj4bv1j",
"authentication": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "gjNns0VJMS3P2RQ3",
"name": "NocoDB Token account"
}
},
"typeVersion": 2
},
{
"id": "e59e9fab-10a7-470b-afa6-e1d4b4e57723",
"name": "Sticky Note17",
"type": "n8n-nodes-base.stickyNote",
"position": [
280,
480
],
"parameters": {
"width": 483.95825869942666,
"height": 268.5678114630957,
"content": "## News summaries and keywords → database\n\n[NocoDB](https://nocodb.com/) is an SQL database, here we store the news summaries and keywords for further processing. Any other output target can be chosen here, e.g. e-mail, Excel etc.\n\nYou need first have that database structured before appending the news summaries and additional fields. The you can shape this node.\n\nSome fields may be edited in the database itself (e.g. relevance of the news to you) and may be filled therefore with a default value or not at all"
},
"typeVersion": 1
},
{
"id": "253b414b-9a5b-4a25-892b-9aa011d55d28",
"name": "Sticky Note18",
"type": "n8n-nodes-base.stickyNote",
"position": [
20,
480
],
"parameters": {
"width": 262.99083066277313,
"height": 268.56781146309544,
"content": ""
},
"typeVersion": 1
},
{
"id": "438e8dde-ce0a-4e5e-8d62-d735d19ec189",
"name": "Create single link items",
"type": "n8n-nodes-base.itemLists",
"position": [
-300,
0
],
"parameters": {
"options": {
"destinationFieldName": "Link"
},
"fieldToSplitOut": "data"
},
"typeVersion": 3
},
{
"id": "d721776b-fefc-4e72-91ef-6710f10b0393",
"name": "Create single date items",
"type": "n8n-nodes-base.itemLists",
"position": [
-300,
-160
],
"parameters": {
"options": {
"destinationFieldName": "Date"
},
"fieldToSplitOut": "data"
},
"typeVersion": 3
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "ff89d802-3bcf-4b34-9cd9-776b1f3b5eab",
"connections": {
"Merge": {
"main": [
[
{
"node": "Merge ChatGPT output with Date & Link",
"type": "main",
"index": 1
}
]
]
},
"Summary": {
"main": [
[
{
"node": "Rename Summary",
"type": "main",
"index": 0
}
]
]
},
"Keywords": {
"main": [
[
{
"node": "Rename keywords",
"type": "main",
"index": 0
}
]
]
},
"Extract date": {
"main": [
[
{
"node": "Create single date items",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request1": {
"main": [
[
{
"node": "Extract individual posts",
"type": "main",
"index": 0
}
]
]
},
"Rename Summary": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Rename keywords": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Merge date & links": {
"main": [
[
{
"node": "Select posts of last 7 days",
"type": "main",
"index": 0
}
]
]
},
"Create single date items": {
"main": [
[
{
"node": "Merge date & links",
"type": "main",
"index": 0
}
]
]
},
"Create single link items": {
"main": [
[
{
"node": "Merge date & links",
"type": "main",
"index": 1
}
]
]
},
"Extract individual posts": {
"main": [
[
{
"node": "Merge Content with Date & Link",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger each week": {
"main": [
[
{
"node": "Retrieve the web page for further processsing",
"type": "main",
"index": 0
}
]
]
},
"Select posts of last 7 days": {
"main": [
[
{
"node": "Merge Content with Date & Link",
"type": "main",
"index": 1
},
{
"node": "HTTP Request1",
"type": "main",
"index": 0
}
]
]
},
"Merge Content with Date & Link": {
"main": [
[
{
"node": "Summary",
"type": "main",
"index": 0
},
{
"node": "Keywords",
"type": "main",
"index": 0
},
{
"node": "Merge ChatGPT output with Date & Link",
"type": "main",
"index": 0
}
]
]
},
"Merge ChatGPT output with Date & Link": {
"main": [
[
{
"node": "NocoDB news database",
"type": "main",
"index": 0
}
]
]
},
"Extract the HTML with the right css class": {
"main": [
[
{
"node": "Create single link items",
"type": "main",
"index": 0
}
]
]
},
"Retrieve the web page for further processsing": {
"main": [
[
{
"node": "Extract the HTML with the right css class",
"type": "main",
"index": 0
},
{
"node": "Extract date",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n extraction de données, actualités, OpenAI : pour qui est ce workflow ?
Ce workflow s'adresse aux équipes marketing, aux journalistes et aux professionnels de la communication qui cherchent à automatiser la collecte d'actualités. Il est idéal pour les entreprises de taille moyenne à grande, disposant d'une certaine expertise technique dans l'utilisation d'outils d'automatisation comme n8n.
Workflow n8n extraction de données, actualités, OpenAI : problème résolu
Ce workflow résout le problème de la recherche manuelle d'actualités, qui peut être chronophage et inefficace. En automatisant l'extraction et le traitement des informations, il permet aux utilisateurs de se concentrer sur des tâches à plus forte valeur ajoutée, tout en réduisant le risque d'erreurs humaines. Les utilisateurs obtiennent ainsi un flux d'informations actualisées et pertinentes, facilitant la prise de décision et le partage de contenu.
Workflow n8n extraction de données, actualités, OpenAI : étapes du workflow
Étape 1 : Le workflow est déclenché chaque semaine par un nœud de planification.
- Étape 1 : Extraction du HTML des pages web avec le nœud 'Extract the HTML with the right css class'.
- Étape 2 : Résumé des articles et extraction des mots-clés via les nœuds OpenAI.
- Étape 3 : Fusion des données extraites avec les dates et les liens des articles.
- Étape 4 : Visualisation et organisation des informations à l'aide de nœuds 'Sticky Note'.
- Étape 5 : Finalisation et préparation du contenu pour le partage.
Workflow n8n extraction de données, actualités, OpenAI : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier l'URL des pages web à extraire dans le nœud 'HTTP Request1'. Ajustez les classes CSS dans le nœud 'Extract the HTML with the right css class' pour cibler les éléments spécifiques que vous souhaitez récupérer. Vous pouvez également adapter les prompts dans les nœuds OpenAI pour affiner les résumés et les mots-clés générés. Enfin, assurez-vous de vérifier les paramètres de fusion pour garantir que les données sont correctement combinées et présentées.